University of Illinois Urbana-Champaign

Understanding scientific collaboration from the perspective of collaborators and their network structures

Zhang, Chenwei; Bu, Yi; Ding, Ying

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Zhang470.epub
Zhang470.pdf

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https://hdl.handle.net/2142/89424

Description

Title
Understanding scientific collaboration from the perspective of collaborators and their network structures
Author(s)
Zhang, Chenwei; Bu, Yi; Ding, Ying
Issue Date
2016-03-15
Keyword(s)
  • coauthorship networks
  • exponential random graph models (ERGMs)
  • scientific collaboration
  • bibliometrics
Date of Ingest
2016-03-08T22:53:25Z
Abstract
Scientific collaboration is one of the key factors to trigger innovations. Coauthorship networks have been taken as representations of scholars’ collaboration for a long time. This study investigates how the authors’ attributes and the coauthorship network structures simultaneously influence the scientific collaboration among them. Exponential random graph models (ERGMs) are adopted in this research. We find that an author has a propensity to coauthor with the other scholar if they have different levels of productivity. We also find that the effect of network’s transitivity strongly influence authors’ collaboration. We demonstrate that taking the effects from both authors’ attributes and the network structures into consideration helps gain a comprehensive understanding of scientific collaboration.
Publisher
iSchools
Series/Report Name or Number
IConference 2016 Proceedings
Type of Resource
text
Genre of Resource
Conference Poster
Language
eng
Permalink
http://hdl.handle.net/2142/89424
DOI
https://doi.org/10.9776/16470
Copyright and License Information
Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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